Abstract
Interactive spoken dialog provides many new challenges for spoken language systems. One of the most critical is the prevalence of speech repairs. This paper presents an algorithm that detects and corrects speech repairs based on finding the repair pattern. The repair pattern is built by finding word matches and word replacements, and identifying fragments and editing terms. Rather than using a set of prebuilt templates, we build the pattern on the fly. In a fair test, our method, when combined with a statistical model to filter possible repairs, was successful at detecting and correcting 80% of the repairs, without using prosodic information or a parser.
Original language | English (US) |
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Pages (from-to) | 295-302 |
Number of pages | 8 |
Journal | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
Volume | 1994-June |
State | Published - 1994 |
Event | 32nd Annual Meeting of the Association for Computational Linguistics, ACL 1994 - Las Cruces, United States Duration: Jun 27 1994 → Jun 30 1994 |
ASJC Scopus subject areas
- Computer Science Applications
- Linguistics and Language
- Language and Linguistics